| 2025 | ICCV | Prediction Degeneracy in Medical Vision-Language Models: Implications for Robustness and Interpretability. | Martin Goetze, Dennis Eschweiler, Brendan Huang, Gustav Mller-Franzes, Carolina Ramirez, Madeline Hess, Lavinia Goldermann, Sharmila Majumdar, Daniel Truhn |
| 2024 | MICCAI | Annotated Biomedical Video Generation Using Denoising Diffusion Probabilistic Models and Flow Fields. | Rveyda Yilmaz, Dennis Eschweiler, Johannes Stegmaier |
| 2023 | ICASSP | End-to-End Classification of Cell-Cycle Stages with Center-Cell Focus Tracker Using Recurrent Neural Networks. | Abin Jose, Rijo Roy, Dennis Eschweiler, Ina Laube, Reza Azad, Daniel Moreno-Andrs, Johannes Stegmaier |
| 2022 | ICIP | Robust 3d Cell Segmentation: Extending The View Of Cellpose. | Dennis Eschweiler, Richard S. Smith, Johannes Stegmaier |
| 2022 | ICIP | Linear Discriminant Analysis Metric Learning Using Siamese Neural Networks. | Abin Jose, Qi Mei, Dennis Eschweiler, Ina Laube, Johannes Stegmaier |
| 2022 | MICCAI | Probabilistic Image Diversification to Improve Segmentation in 3D Microscopy Image Data. | Dennis Eschweiler, Justus Schock, Johannes Stegmaier |
| 2021 | MICCAI | Semi- and Self-supervised Multi-view Fusion of 3D Microscopy Images Using Generative Adversarial Networks. | Canyu Yang, Dennis Eschweiler, Johannes Stegmaier |
| 2019 | MICCAI | Combined Learning for Similar Tasks with Domain-Switching Networks. | Daniel Bug, Dennis Eschweiler, Qianyu Liu, Justus Schock, Leon Weninger, Friedrich Feuerhake, Julia Schler, Johannes Stegmaier, Dorit Merhof |
| 2019 | MICCAI | Towards Annotation-Free Segmentation of Fluorescently Labeled Cell Membranes in Confocal Microscopy Images. | Dennis Eschweiler, Tim Klose, Florian Nicolas Mller-Fouarge, Marcin Kopaczka, Johannes Stegmaier |
| 2018 | ICISP | Gradual Domain Adaptation for Segmenting Whole Slide Images Showing Pathological Variability. | Michael Gadermayr, Dennis Eschweiler, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof |